Join a fast-growing AI communications software team at the intersection of product and customer deployments. You will own the path from customer requirements to reliable production implementations, while sharing practical learnings that improve the product.
Translate customer requirements into robust implementation plans and production workflows.
Lead deployments involving AI logic, prompts, guardrails, data flows, and monitoring.
Build integrations with third-party systems using APIs, webhooks, and common authentication patterns.
Write and test glue code and product features, with appropriate logging and observability.
Investigate live production issues across calls, workflows, and data, then implement fixes.
Create reusable templates, deployment playbooks, and practices that support repeatable rollouts.
Share recurring customer needs and product gaps with clear recommendations.
Collaborate across product, engineering, and go-to-market teams to ensure deployments work reliably in live use.
Several years of experience translating customer requirements into production implementation plans.
Production experience with LLM applications, including prompting, tool use, retrieval-augmented generation, evaluation, and failure modes.
Hands-on experience with APIs, webhooks, authentication, and third-party integrations.
Strong coding skills for building integrations and features, with experience in testing, monitoring, logging, and production debugging.
Cloud deployment and observability fundamentals, plus a pragmatic, delivery-focused approach.
German proficiency at B2 level or above; exceptional candidates without German proficiency may be considered for escalation.
Voice or telephony integrations are a plus. Experience with TypeScript or Python, SQL, workflow automation, monitoring and tracing, or privacy considerations is also helpful.
Base salary: €60,000 to €90,000 annually. Visa sponsorship is not available.
Remote, based in Germany.
Implement and optimize AI phone-agent deployments for French-market customers, translating requirements into production workflows, integrations, and reusable playbooks while feeding customer insights back to Product and Engineering.
Build and maintain reliable demos, agents, reference implementations, and reusable tools that help customer-facing teams showcase Claude capabilities and turn field insights into product and launch-readiness improvements.
Own technical outcomes for strategic customer engagements, from discovery and rapid prototyping on customer data through production adoption, while translating validated needs into reusable solutions and product improvements.
Own client AI-agent engagements from workflow scoping through production deployment and handover, building secure integrations and measuring adoption and outcomes against agreed baselines.
Own customer implementations from discovery through go-live, integrating operational systems and translating wholesale workflow needs into configurations, data models, and product improvements.
